Publication | Closed Access
An improved algorithm for symbolic reliability analysis
84
Citations
23
References
1991
Year
EngineeringSymbolic Data AnalysisVerificationNetwork AnalysisComputational ComplexitySystem ReliabilitySoftware AnalysisFormal VerificationSymbolic ComputationReliability EngineeringFault AnalysisMinimal PathsetsSystems EngineeringReliabilityComputer ScienceReliability PredictionMultiple Variable InversionDependability ModellingInteger ProgrammingReliability ModellingAutomated ReasoningFormal MethodsSymbolic Reliability Analysis
The authors describe an efficient Boolean algebraic algorithm to compute the probability of a union of nondisjoint sets as applied to symbolic reliability analysis. Coherent networks and fault-trees with statistically-independent components characterized by their minimal pathsets or cutsets are used as examples for generating the nondisjoint sets. The algorithm uses the concept of multiple variable inversion originally proposed by A. Grnarov et al. (1979). The authors illustrate improvements in the use of the multiple variable inversion technique for this problem using two examples. The algorithm is extended to compute the reliability importance of a given component (sensitivity of system reliability to the component reliability). A computer program implementing the modified algorithm is used to solve and obtain measured time complexities for a large set of network and fault tree models.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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